Friday

September 30, 2016
Posted by **Joe** on Tuesday, January 28, 2014 at 8:56pm.

Descriptive Statistics

1

The table below presents data for a sample of people who completed a religious survey.

Age Gender Denomination Church Attendance

56 1 7 4

46 2 6 5

49 2 6 5

49 1 1 5

27 2 9 5

51 1 4 2

47 2 2 3

67 1 5 4

49 2 2 6

33 1 12 6

55 2 9 5

40 1 7 5

62 1 8 6

47 2 6 3

56 2 9 5

22 1 10 2

50 2 4 5

51 1 10 6

50 1 7 6

43 1 10 3

In this table, the numbers in the gender, denomination, and church attendance columns represent the following:

Gender

1. Male

2. Female

Denomination

1. Episcopal

2. Lutheran

3. Methodist

4. Presbyterian

5. Other mainline Protestant

6. Baptist

7. Other Evangelical Protestant

8. Pentecostal

9. Charismatic

10. Non-denominational

11. Catholic

12. Other

Church Attendance

1. Less than once a month

2. Once a month

3. A few times a month

4. Once a week

5. Twice a week

6. Three or more times a week

a. What is the mean age of this sample? What is the standard deviation?

Mean Age- 47.5, calculated by adding all numbers together and deviding by 20

Standard dev-10.7483, step 1 Calculated by taking each persons main age subtracting mean age squaring result, step 2 take sum of squares, step 3 found N=total number of values-1 which was 20-1 N-1=19, step 4 divide square root of step 2 by square root of step 3

b. Create a frequency distribution table for denomination.

Denomination Frequency How calculated

Counted how many people were in each church.

Put frequency for each denomination.

Episcopal 1

Lutheran 2

Methodist 0

Presbyterian 2

Other Main Line Protestant 1

Baptist 3

Other Evangelical Protestant 3

Pentacostal 1

Charismatic 3

Non-Denominational 3

Catholic 0

Other 1

c. What is the percentage of people who identify themselves as Baptist in this sample?

15%, 3 of 20 defined themselves as Baptist so 3 divided by 20 is.15 times 100 is 15%

d. What is the mode of church attendance?

The mode of church attendance is 5, or twice a week

Step 1 order numbers in numerical order, step 2 find which number occurs most often, most occurances is 5

2

The results of a recent survey indicate that the average new car costs $23,000, with a standard deviation of $3,500. The price of cars is normally distributed.

a. What is a Z score for a car with a price of $ 33,000?

Z score is 2.8571, step one subtract mean from value, step 2 divide difference by standard deviation. Step 3 look of quotient in z table

b. What is a Z score for a car with a price of $30,000?

Z score is 2.0000, step one subtract mean from value, step 2 divide difference by standard deviation. Step 3 look of quotient in z table

c. At what percentile rank is a car that sold for $30,000?

97.72 % find z score and use z score to percentile calculator to figure out percentile

3

In one elementary school, 200 students are tested on the subject of math and English. The table below shows the mean and standard deviation for each subject.

Mean SD

Math 67 9.58

English 78 12.45

One student’s math score was 70 and the same individual’s English score was 84. On which exam did the student do better?

English exam. Step one-find standard deviation, step 2 find percentile, step 3 compare percentile.

4

Suppose you administered an anxiety test to a large sample of people and obtained normally distributed scores with a mean of 45 and standard deviation of 4. Do not use web-calculator to answer the following questions. Instead, you need to use the Z distribution table in Appendix A in Jackson’s book.

a. If Andrew scored 45 on this test, what is his Z score?

Z score is 0, X=Andrews score=45 mean-45 sd-4

X-mean\sd=0

b. If Anna scored 30 on this test, what is her Z score?

Z=-3.75, X=annas score= 30 mean-45 sd-4

X-mean/sd= -3.75

c. If Bill’s Z score was 1.5, what is his real score on this test?

1.5=x-45/4 (1.5)4=(x-45\4)4 6=x-45 6+45=x x=51

d. There are 200 students in a sample. How many of these students will have scores that fall under the score of 41? Z=41-45/4 Z=41-45=-4/4=-1

Z=-1

According to Jackson Z=-1=.159

.159*200(people in survey)=31.8

Or Approximately 32

5

The table below shows psychology exam scores, statistics exam scores, and IQ scores for a random sample of students. What can you observe in the relationship between IQ and psychology, psychology and statistics, and IQ and statistics? Using a web-calculator, obtain the Pearson’s r and coefficient of determination for the following relationships.

a. Between the IQ and psychology scores

Pearson R-.59 Coefficiant of determination- .35

b. Between the IQ and statistics scores

Pearson R- .74 Coefficiant of determination- .55

c. Between the psychology scores and statistics scores.

Pearson R.- .71 Coefficiant of determination- .5

Student Number IQ Psychology Statistics

101 142 49 49

102 100 30 32

103 103 36 38

104 121 44 41

105 120 35 42

106 115 47 43

107 101 37 35

108 109 45 47

109 111 30 43

110 115 49 46

6

In a study on caffeine and stress, college students indicated how many cups of coffee they drink per day and their current stress level on a scale of 1 to 10. The table shows the survey results. Using a web-calculator, obtain the appropriate correlation coefficients.

Number of Cups of Coffee Stress Level

3 5

2 3

4 3

6 9

5 4

1 2

7 10

3 5

Correlation coefficient- .8519

Rounded to approximately.85

ARE MY ANSWERS RIGHT???

PLEASE ADVISE